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Psychology | Psychometrika – incl. option to publish open access (Editorial Board)



Editor-in-Chief: Irini Moustaki

ISSN: 0033-3123 (print version)
ISSN: 1860-0980 (electronic version)

Journal no. 11336

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Executive Editor

Irini Moustaki, London School of Economics, UK

Incoming Executive Editor

Matthias von Davier, Oxford University, UK

Section Editors

Application Reviews and Case Studies:

Alberto Maydeu-Olivares, University of South Carolina, USA


Incoming Application Reviews and Case Studies Editor:

Edward Ip, Wake Forest University Health Services, USA

Book Reviews:

Jeff Harring, University of Maryland, USA


Associate Editors

Carolyn J. Anderson, University of Illinois, USA

Ulf Bockenholt, Kellogg School of Management, USA

Sy-Miin Chow, Pennsylvania State University, USA

Bob Cudeck, Ohio State University, USA

Alina A. von Davier, Educational Testing Services, USA

Cees Glas, University of Twente, Netherlands

Heungsun Hwang, McGill University, Canada

Edward Hak-sing Ip, Wake Forest University, USA

Yutaka Kano, Osaka University, Japan

Jouni Kuha, London School of Economics and Political Science, UK

Henk A.L. Kiers, University of Groningen, Netherlands

Jee-Seon Kim, University of Wisconsin-Madison, USA

Jingchen Liu, Columbia University, USA

Gunter Maris, University of Amsterdam, Netherlands

Haruhiko Ogasawara, Otaru University of Commerce, Japan

Albert Satorra, University of Pompeu Fabra, Spain

Klaas Sijtsma, Tilburg University, Netherlands

Elisabeth Stuart, Johns Hopkins, USA

Xin-Yuan Song, The Chinese University of Hong Kong, USA

Rolf Steyer, University of Jena, Germany

Jonathan Templin, University of Kansas, USA

Marieke E. Timmerman, University of Groningen, Netherlands

Stanley Wasserman, Indiana University, USA

Rand Wilcox, University of Southern California, USA

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  • Aims and Scope

    Aims and Scope


    Psychometrika, the official journal of the Psychometric Society, is devoted to the development of psychology as a quantitative rational science. Articles examine statistical methods, discuss mathematical techniques, and advance theory for evaluating behavioral data in psychology, education, and the social and behavioral sciences generally. There are three main sections in Psychometrika: Theory and Methods, Application Reviews and Case Studies (ARCS), and Book Reviews. Additionally, there is a section online for software, data, and other electronic supplementary material for the articles in these sections.

    Theory and Methods is the primary section, and it contains articles that present original research on the development of quantitative models for psychological phenomena, and on quantitative methodology in the social and behavioral sciences, including new mathematical and statistical techniques for the evaluation of psychological data and the application of such techniques.

    Application Reviews and Case Studies (ARCS) is the newest section of Psychometrika, and it is designed to highlight the essential connection between data analysis and modelling methodology and its application to data in psychology, education sciences, and related areas in the social sciences and marketing, in a way that deepens the substantive understanding of phenomena in one of these disciplines. 

    Book Reviews are the third main section of Psychometrika. Book topics include psychometrics, quantitative psychology, and areas in statistics and data mining, as well as substantive areas in psychology, social sciences, etc. that are inspiring for quantitative work in Psychometrika.


    Officially cited as: Psychometrika

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